The high prevalence of urban flooding in the world is increasing rapidly with rise extreme weather events. Consequently, this research uses an Automatic Flood Monitoring System (ARMS) through a video surveillance camera. Initially, videos are collected from camera and converted into frames. After converting frames, water level can be identified by using Histogram oriented Gradient (HoG), which ...

In this paper, we utilize novel sensors built-in commercial smart devices to propose a schema which can identify floors with high accuracy and efficiency. This schema can be divided into two modules: floor identifying and floor change detection. Floor identifying module starts at initial phase of positioning, and responsible for determining which floor the positioning start. We have estimated t...

Abstract Over the last two decades, improvements in developing computational tools made significant contributions to the classification of biological specimens` images to their correspondence species. These days, identification of biological species is much easier for taxonomist and even non-taxonomists due to the development of automated computer techniques and systems.  In this study, we d...

Due to the unpredictable interruptions within functions of human brain, disturbance occurs and it affects behavior is equally laid low with frequent occurrence termed as seizures. Therefore, proposed system detects seizure using machine learning algorithms. The electroencephalogram (EEG) contains information brain detect seizure. objective evaluate performance classifiers K-nearest neighbors (K...

The absolute prediction of reference evapotranspiration (ETo) is an important issue for global water balance. Present study demonstrated the performance k-Nearest Neighbour (kNN) and Artificial Neural Network (ANN) models daily ETo using four combinations climatic data. kNN ANN were studied climate data during 1996-2015 in Middle Anatolia region. findings estimation with classed FAO Penman Mont...

The problem of the automatic classification of superresolution ISAR images is addressed in the paper. We describe an anechoic chamber experiment involving ten-scale-reduced aircraft models. The radar images of these targets are reconstructed using MUSIC-2D (multiple signal classification) method coupled with two additional processing steps: phase unwrapping and symmetry enhancement. A feature v...

Even though most areas, including land records, agreements between parties, legal certificates, identification cards, etc., are moving toward digital documents with signatures for authentication, uses only a signature written by hand. Verifying is crucial because false would have significant impact on the actual owner. Therefore, it essential to recognize genuine in order avoid such frauds. In ...

background and objectives: rheological characteristics of dough are important for achieving useful information about raw-material quality, dough behavior during mechanical handling, and textural characteristics of products. our purpose in the present research is to apply soft computation tools for predicting the rheological properties of dough out of simple measurable factors. materials and met...

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...